Welcome to Bilingual Publishing Group
View

Journal of Atmospheric Science Research

ISSN: 2630-5119 (Online)

  • Article

    Machine Learning Based Drought Prediction Using the Standardized Precipitation Evapotranspiration Index (SPEI) in Kebbi State, Nigeria

    Precious Eguagie-suyiORCID, Boluwatife DadaORCID, Emmanuel Chilekwu  OkogbueORCID
    1-21

    Article ID: 112645    DOI:https://doi.org/10.30564/jasr.v8i2.8220
    1368  (Abstract) 611  (Download)

    Abstract: Drought represents a major threat to livelihoods and economic stability in regions prone to its occurrence. This paper aims to address the gap in applying machine learning techniques for enhanced meteorological drought prediction to support resilience and preparedness. The study focuses on Kebbi State, located in northwest Nigeria, which experiences droughts with devastating agricultural, ecological and humanitarian impacts. The Standardized... More

  • Article

    The Influence of Atmospheric Microplastics on Global Climate Dynamics: An Interdisciplinary Review

    Estefan M. da FonsecaORCID, Christine C. GaylardeORCID
    22-36

    Article ID: 114137    DOI:https://doi.org/10.30564/jasr.v8i2.10018
    593  (Abstract) 564  (Download)

    Abstract: This article examines the growing concern over microplastics in the atmosphere and their potential effects on climate systems and atmospheric circulation. It explores the role of natural aerosols in atmospheric processes, highlighting how these particles influence cloud formation, radiative forcing, and global circulation patterns. It contrasts these natural aerosols with microplastics, which, because of their unique physical and chemical... More

  • Article

    Deep Learning-based Flood Risk Prediction for Climate Resilience Planning in Malawi

    Isaac Kadono MwalwimbaORCID, Bessam Kalonjeka, Vincent Msadala, Vincent KatondaORCID, Chikondi ChisengaORCID, Cosmo NgongondoORCID, Mtafu MandaORCID
    37-50

    Article ID: 114433    DOI:https://doi.org/10.30564/jasr.v8i2.10377
    1025  (Abstract) 458  (Download)

    Abstract: Climate change resilience in Malawi faces an institutional gap because most institutions often fail to prioritize risk data when dealing with climate extremes such as floods. This unfortunate gap forces many Malawians to fend for themselves during times of climate extremes. This situation is also heightened by a few studies that utilize Time Series Analysis (TSA) and Deep Learning Models (DLM) to predict climate extremes for decision-making... More

  • Article

    Warm Fog Artificial Dispersion, Preliminary Results

    Alexandra AlekseevaORCID, Vladimir DavidovORCID, Vladimir IvanovORCID, Aleksei PaleiORCID, Yuri PisankoORCID, Anatoly SavchenkoORCID, Marina VasilyevaORCID, Alexey VasilevORCID, Marina ZinkinaORCID
    51-64

    Article ID: 111813    DOI:https://doi.org/10.30564/jasr.v8i2.7247
    501  (Abstract) 347  (Download)

    Abstract: We describe the results of laboratory and field experiments aimed at dispersing warm fog. The laboratory experiments were conducted inside the Large Aerosol Chamber (volume: 3500 m3) RPA Typhoon (Obninsk, Russia) while the field experiments were carried out in the Caucasus foothills (Nalchik, Russia) and foothills close to Usui-Karuizawa (Japan). The results of experiments in the Large Aerosol Chamber demonstrated that the ion wind generated by... More

  • Article

    Trends and Temporal of Rainfall Erosion due Variability Rainfall in Nakambè Watershed, Burkina Faso

    Joseph YaméogoORCID, Songanaba RouambaORCID, Suzanne KoalaORCID, Richard ZongoORCID
    65-85

    Article ID: 114369    DOI:https://doi.org/10.30564/jasr.v8i2.10301
    1403  (Abstract) 249  (Download)

    Abstract: Understanding how rain erosion evolves and what determines it can contribute to the better management of soil resources. This study analyses the evolution of rain erosion in the Nakambè catchment in Burkina Faso between 1992 and 2022. Monthly rainfall data for this period were extracted from NASA POWER. Erodibility indices were then employed to evaluate the extent of erosion. Precipitation variability was assessed using the coefficients of... More